The graph represents a network of 7,295 Twitter users whose tweets in the requested range contained "Immunisation", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 01 December 2022 at 20:25 UTC.
The requested start date was Thursday, 01 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 40-minute period from Thursday, 17 November 2022 at 02:05 UTC to Thursday, 01 December 2022 at 00:46 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 7295
Unique Edges : 4106
Edges With Duplicates : 11551
Total Edges : 15657
Number of Edge Types : 5
Retweet : 5549
MentionsInRetweet : 7915
Tweet : 597
Mentions : 1111
Replies to : 485
Self-Loops : 611
Reciprocated Vertex Pair Ratio : 0.00615384615384615
Reciprocated Edge Ratio : 0.0122324159021407
Connected Components : 741
Single-Vertex Connected Components : 254
Maximum Vertices in a Connected Component : 4215
Maximum Edges in a Connected Component : 10706
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.706211
Graph Density : 0.000172073791767032
Modularity : 0.518439
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,295 Twitter users whose tweets in the requested range contained "Immunisation", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 01 December 2022 at 20:25 UTC.
The requested start date was Thursday, 01 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 40-minute period from Thursday, 17 November 2022 at 02:05 UTC to Thursday, 01 December 2022 at 00:46 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : Immunisation
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2066] cyrille,cohen [2022] confinements,faible [2022] chez,pascalpraud [2022] immunologue,cyrille [2022] cohen,chez [2022] réel,bénéfice [2022] bénéfice,confinements [2022] faible,efficacité [1994] pascalpraud,ce [1994] matin,réel Top Word Pairs in Tweet in G1:
[2007] cyrille,cohen [1967] chez,pascalpraud [1967] cohen,chez [1967] immunologue,cyrille [1967] bénéfice,confinements [1967] réel,bénéfice [1967] confinements,faible [1967] faible,efficacité [1942] ce,matin [1942] pascalpraud,ce Top Word Pairs in Tweet in G2:
[725] remind,vaccine [725] short,memories [725] hancock,jungle [725] favourite,really [725] matt,hancock [725] memories,remind [725] really,short [725] jungle,favourite [725] vaccine,used [723] berniespofforth,matt Top Word Pairs in Tweet in G3:
[275] #healthcare,#immunisation [275] #immunisation,#vaccineforall [275] #covaxin,#covid19 [275] #bharatbiotech,#announcement [275] #covid19,#vaccinesafety [275] #vaccinesafety,#healthcare [275] #announcement,#vaccine [275] #vaccine,#covaxin [274] bharatbiotech,#bharatbiotech Top Word Pairs in Tweet in G4:
[272] 希望があれば接種可能,5歳未満は接種不可能 [272] ノルウェー,コロナワクチン接種推奨は18歳以上 [272] コロナワクチン接種推奨は18歳以上,5歳から17歳は [272] 5歳から17歳は,希望があれば接種可能 [271] ayakomiyakawa,ノルウェー Top Word Pairs in Tweet in G5:
[42] covid,19 [20] immunisation,team [17] flu,vaccine [16] flu,immunisation [15] vaccines,immunisation [14] 19,immunisation [13] immunisation,coverage [13] immunisation,schedule [13] immunisation,programme [12] national,immunisation Top Word Pairs in Tweet in G6:
[245] corrupt,news [245] thing,ordinary [245] never,stop [245] people,expose [245] bbc,scotland [245] ordinary,people [245] promoting,corrupt [245] scotland,never [245] news,thing [245] stop,promoting Top Word Pairs in Tweet in G7:
[136] ministre,santé [134] plus,ça [134] pense,#covid [134] #australie,plus [134] ça,plus [134] mort,ministre [134] #covid,mort [134] ce,mardi [134] plus,pense [134] santé,mark Top Word Pairs in Tweet in G8:
[164] deaths,due [163] govt,held [163] following,immunisation [163] adverse,event [163] event,following [163] aefi,administration [163] compensate,deaths [163] immunisation,aefi [163] liable,compensate [163] due,adverse Top Word Pairs in Tweet in G9:
[48] force,vaccines [48] centre,held [48] vaccines,local [48] bodies,education [48] depts,pvt [48] local,bodies [48] education,depts [48] held,responsible [48] responsible,force [47] pvt,co Top Word Pairs in Tweet in G10:
[130] sars,cov [128] 19,surge [128] current,sars [128] major,covid [128] dramatic,death [128] cov,omicron [128] lead,dramatic [128] toll,current [128] omicron,lineages [128] covid,19 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: